Spatio Temporal EEG Source Imaging with the Hierarchical Bayesian Elastic Net and Elitist Lasso Models

Spatio Temporal EEG Source Imaging with the Hierarchical Bayesian Elastic Net and Elitist Lasso Models

The estimation of EEG generating sources constitutes an Inverse Problem (IP) in Neuroscience. This is an ill-posed problem due to the non-uniqueness of the solution and regularization or prior information is needed to undertake Electrophysiology Source Imaging. Structured Sparsity priors can be atta...

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Bibliographic Details
Main Authors: Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A. Rojas-López, Pedro A. Valdés-Hernández, Eduardo Martínez-Montes, Pedro A. Valdés-Sosa
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-11-01
Series:Frontiers in Neuroscience
Subjects:
EEG source imaging
inverse problem
sparsity regularization
sparse Bayesian learning
empirical Bayes
elastic net
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00635/full

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http://journal.frontiersin.org/article/10.3389/fnins.2017.00635/full

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